Hello,
Ok, here's my attempt --
https://github.com/gmabey/numpy/compare/swig-std-complex
Glen
On Oct 27, 2014, at 11:13 AM, Bill Spotz wfspotz@sandia.gov wrote:
Supporting std::complex<> was just low enough priority for me that I decided to wait until someone expressed interest ... and now, many years later, someone finally has.
I would be happy to include this into numpy.i, but I would like to see some tests in the numpy repository demonstrating that it works. These could be relatively short and simple, and since float and double are the only scalar data types that I could foresee supporting, there would not be a need for testing the large numbers of data types that the other tests cover.
I would also want to protect the references to C++ objects with '#ifdef __cplusplus', but that is easy enough.
-Bill
On Oct 27, 2014, at 9:06 AM, Glen Mabey gmabey@swri.org wrote:
Hello,
I was very excited to learn about numpy.i for easy numpy+swigification of C code -- it's really handy.
Knowing that swig wraps C code, I wasn't too surprised that there was the issue with complex data types (as described at http://docs.scipy.org/doc/numpy/reference/swig.interface-file.html#other-com...), but still it was pretty disappointing because most of my data is complex, and I'm invoking methods written to use C++'s std::complex class.
After quite a bit of puzzling and not much help from previous mailing list posts, I created this very brief but very useful file, which I call numpy_std_complex.i --
/* -*- C -*- (not really, but good for syntax highlighting) */ #ifdef SWIGPYTHON
%include "numpy.i"
%include <std_complex.i>
%numpy_typemaps(std::complex<float>, NPY_CFLOAT , int) %numpy_typemaps(std::complex<double>, NPY_CDOUBLE, int)
#endif /* SWIGPYTHON */
I'd really like for this to be included alongside numpy.i -- but maybe I overestimate the number of numpy users who use complex data (let your voice be heard!) and who also end up using std::complex in C++ land.
Or if anyone wants to improve upon this usage I would be very happy to hear about what I'm missing.
I'm sure there's a documented way to submit this file to the git repo, but let me simultaneously ask whether list subscribers think this is worthwhile and ask someone to add+push it for me …
Thanks, Glen Mabey _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
** Bill Spotz ** ** Sandia National Laboratories Voice: (505)845-0170 ** ** P.O. Box 5800 Fax: (505)284-0154 ** ** Albuquerque, NM 87185-0370 Email: wfspotz@sandia.gov **
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
I know this is a month old at this point, but I wanted to state that I use std::complex<double> with swig all the time and it works great. I have very similar code in each of my project's ".i" files, so I am happy to see you are adding support to numpy.i. E.g.
%numpy_typemaps(std::complex<double>, NPY_CDOUBLE, int)
On Fri, Nov 14, 2014 at 1:06 PM, Glen Mabey gmabey@swri.org wrote:
Hello,
Ok, here's my attempt --
https://github.com/gmabey/numpy/compare/swig-std-complex
Glen
On Oct 27, 2014, at 11:13 AM, Bill Spotz wfspotz@sandia.gov wrote:
Supporting std::complex<> was just low enough priority for me that I
decided to wait until someone expressed interest ... and now, many years later, someone finally has.
I would be happy to include this into numpy.i, but I would like to see
some tests in the numpy repository demonstrating that it works. These could be relatively short and simple, and since float and double are the only scalar data types that I could foresee supporting, there would not be a need for testing the large numbers of data types that the other tests cover.
I would also want to protect the references to C++ objects with '#ifdef
__cplusplus', but that is easy enough.
-Bill
On Oct 27, 2014, at 9:06 AM, Glen Mabey gmabey@swri.org wrote:
Hello,
I was very excited to learn about numpy.i for easy numpy+swigification
of C code -- it's really handy.
Knowing that swig wraps C code, I wasn't too surprised that there was
the issue with complex data types (as described at http://docs.scipy.org/doc/numpy/reference/swig.interface-file.html#other-com...), but still it was pretty disappointing because most of my data is complex, and I'm invoking methods written to use C++'s std::complex class.
After quite a bit of puzzling and not much help from previous mailing
list posts, I created this very brief but very useful file, which I call numpy_std_complex.i --
/* -*- C -*- (not really, but good for syntax highlighting) */ #ifdef SWIGPYTHON
%include "numpy.i"
%include <std_complex.i>
%numpy_typemaps(std::complex<float>, NPY_CFLOAT , int) %numpy_typemaps(std::complex<double>, NPY_CDOUBLE, int)
#endif /* SWIGPYTHON */
I'd really like for this to be included alongside numpy.i -- but maybe
I overestimate the number of numpy users who use complex data (let your voice be heard!) and who also end up using std::complex in C++ land.
Or if anyone wants to improve upon this usage I would be very happy to
hear about what I'm missing.
I'm sure there's a documented way to submit this file to the git repo,
but let me simultaneously ask whether list subscribers think this is worthwhile and ask someone to add+push it for me …
Thanks, Glen Mabey _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
** Bill Spotz ** ** Sandia National Laboratories Voice: (505)845-0170 ** ** P.O. Box 5800 Fax: (505)284-0154 ** ** Albuquerque, NM 87185-0370 Email: wfspotz@sandia.gov **
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Also see
https://code.google.com/p/upfirdn/source/browse/upfirdn/Resampler.i
On Sun, Dec 14, 2014 at 12:52 PM, Tom Krauss thomas.p.krauss@gmail.com wrote:
I know this is a month old at this point, but I wanted to state that I use std::complex<double> with swig all the time and it works great. I have very similar code in each of my project's ".i" files, so I am happy to see you are adding support to numpy.i. E.g.
%numpy_typemaps(std::complex<double>, NPY_CDOUBLE, int)
On Fri, Nov 14, 2014 at 1:06 PM, Glen Mabey gmabey@swri.org wrote:
Hello,
Ok, here's my attempt --
https://github.com/gmabey/numpy/compare/swig-std-complex
Glen
On Oct 27, 2014, at 11:13 AM, Bill Spotz wfspotz@sandia.gov wrote:
Supporting std::complex<> was just low enough priority for me that I
decided to wait until someone expressed interest ... and now, many years later, someone finally has.
I would be happy to include this into numpy.i, but I would like to see
some tests in the numpy repository demonstrating that it works. These could be relatively short and simple, and since float and double are the only scalar data types that I could foresee supporting, there would not be a need for testing the large numbers of data types that the other tests cover.
I would also want to protect the references to C++ objects with '#ifdef
__cplusplus', but that is easy enough.
-Bill
On Oct 27, 2014, at 9:06 AM, Glen Mabey gmabey@swri.org wrote:
Hello,
I was very excited to learn about numpy.i for easy numpy+swigification
of C code -- it's really handy.
Knowing that swig wraps C code, I wasn't too surprised that there was
the issue with complex data types (as described at http://docs.scipy.org/doc/numpy/reference/swig.interface-file.html#other-com...), but still it was pretty disappointing because most of my data is complex, and I'm invoking methods written to use C++'s std::complex class.
After quite a bit of puzzling and not much help from previous mailing
list posts, I created this very brief but very useful file, which I call numpy_std_complex.i --
/* -*- C -*- (not really, but good for syntax highlighting) */ #ifdef SWIGPYTHON
%include "numpy.i"
%include <std_complex.i>
%numpy_typemaps(std::complex<float>, NPY_CFLOAT , int) %numpy_typemaps(std::complex<double>, NPY_CDOUBLE, int)
#endif /* SWIGPYTHON */
I'd really like for this to be included alongside numpy.i -- but maybe
I overestimate the number of numpy users who use complex data (let your voice be heard!) and who also end up using std::complex in C++ land.
Or if anyone wants to improve upon this usage I would be very happy to
hear about what I'm missing.
I'm sure there's a documented way to submit this file to the git repo,
but let me simultaneously ask whether list subscribers think this is worthwhile and ask someone to add+push it for me …
Thanks, Glen Mabey _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
** Bill Spotz ** ** Sandia National Laboratories Voice: (505)845-0170 ** ** P.O. Box 5800 Fax: (505)284-0154 ** ** Albuquerque, NM 87185-0370 Email: wfspotz@sandia.gov **
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion